Overview

Brought to you by YData

Dataset statistics

Number of variables30
Number of observations7133
Missing cells0
Missing cells (%)0.0%
Duplicate rows20
Duplicate rows (%)0.3%
Total size in memory843.0 KiB
Average record size in memory121.0 B

Variable types

Numeric13
Boolean17

Alerts

Dataset has 20 (0.3%) duplicate rowsDuplicates
age is highly overall correlated with draft_yearHigh correlation
draft_year is highly overall correlated with ageHigh correlation
fantasy_points_ppr is highly overall correlated with interception and 6 other fieldsHigh correlation
interception is highly overall correlated with fantasy_points_ppr and 3 other fieldsHigh correlation
pass_touchdown is highly overall correlated with fantasy_points_ppr and 4 other fieldsHigh correlation
passing_yards is highly overall correlated with position_QBHigh correlation
position_QB is highly overall correlated with interception and 3 other fieldsHigh correlation
position_RB is highly overall correlated with rushing_yardsHigh correlation
receiving_touchdown is highly overall correlated with fantasy_points_ppr and 4 other fieldsHigh correlation
receiving_yards is highly overall correlated with fantasy_points_ppr and 3 other fieldsHigh correlation
receptions is highly overall correlated with fantasy_points_ppr and 3 other fieldsHigh correlation
rush_touchdown is highly overall correlated with rushing_yards and 1 other fieldsHigh correlation
rushing_yards is highly overall correlated with position_RB and 2 other fieldsHigh correlation
targets is highly overall correlated with fantasy_points_ppr and 3 other fieldsHigh correlation
touches is highly overall correlated with fantasy_points_ppr and 5 other fieldsHigh correlation
position_DE is highly imbalanced (98.6%)Imbalance
position_DT is highly imbalanced (98.6%)Imbalance
position_FB is highly imbalanced (88.2%)Imbalance
position_FS is highly imbalanced (96.1%)Imbalance
position_ILB is highly imbalanced (97.5%)Imbalance
position_K is highly imbalanced (99.0%)Imbalance
position_LS is highly imbalanced (99.6%)Imbalance
position_MLB is highly imbalanced (99.5%)Imbalance
position_NT is highly imbalanced (99.6%)Imbalance
position_OLB is highly imbalanced (99.2%)Imbalance
position_P is highly imbalanced (92.3%)Imbalance
position_SS is highly imbalanced (95.9%)Imbalance
position_T is highly imbalanced (99.8%)Imbalance
passing_yards has 6047 (84.8%) zerosZeros
pass_touchdown has 3225 (45.2%) zerosZeros
interception has 3935 (55.2%) zerosZeros
rushing_yards has 3216 (45.1%) zerosZeros
rush_touchdown has 5481 (76.8%) zerosZeros
receptions has 1407 (19.7%) zerosZeros
receiving_yards has 1428 (20.0%) zerosZeros
receiving_touchdown has 3997 (56.0%) zerosZeros
targets has 1202 (16.9%) zerosZeros
touches has 213 (3.0%) zerosZeros
fantasy_points_ppr has 223 (3.1%) zerosZeros

Reproduction

Analysis started2025-10-20 18:04:37.446146
Analysis finished2025-10-20 18:05:10.636799
Duration33.19 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

passing_yards
Real number (ℝ)

High correlation  Zeros 

Distinct803
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228.82462
Minimum-7
Maximum5477
Zeros6047
Zeros (%)84.8%
Negative4
Negative (%)0.1%
Memory size55.9 KiB
2025-10-20T11:05:10.754300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-7
5-th percentile0
Q10
median0
Q30
95-th percentile2091
Maximum5477
Range5484
Interquartile range (IQR)0

Descriptive statistics

Standard deviation832.22035
Coefficient of variation (CV)3.6369354
Kurtosis15.826461
Mean228.82462
Median Absolute Deviation (MAD)0
Skewness4.0508054
Sum1632206
Variance692590.71
MonotonicityNot monotonic
2025-10-20T11:05:10.938275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06047
84.8%
415
 
0.2%
209
 
0.1%
219
 
0.1%
38
 
0.1%
178
 
0.1%
198
 
0.1%
28
 
0.1%
138
 
0.1%
107
 
0.1%
Other values (793)1006
 
14.1%
ValueCountFrequency (%)
-71
 
< 0.1%
-31
 
< 0.1%
-21
 
< 0.1%
-11
 
< 0.1%
06047
84.8%
14
 
0.1%
28
 
0.1%
38
 
0.1%
415
 
0.2%
54
 
0.1%
ValueCountFrequency (%)
54771
< 0.1%
53161
< 0.1%
52501
< 0.1%
52081
< 0.1%
51771
< 0.1%
51621
< 0.1%
51291
< 0.1%
51091
< 0.1%
50971
< 0.1%
50141
< 0.1%

pass_touchdown
Real number (ℝ)

High correlation  Zeros 

Distinct46
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7696621
Minimum0
Maximum55
Zeros3225
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:11.124391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13
Maximum55
Range55
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.6843074
Coefficient of variation (CV)2.0523469
Kurtosis16.801501
Mean2.7696621
Median Absolute Deviation (MAD)1
Skewness3.7837157
Sum19756
Variance32.311351
MonotonicityNot monotonic
2025-10-20T11:05:11.307792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
03225
45.2%
11239
 
17.4%
2689
 
9.7%
3471
 
6.6%
4328
 
4.6%
5230
 
3.2%
6170
 
2.4%
7131
 
1.8%
897
 
1.4%
966
 
0.9%
Other values (36)487
 
6.8%
ValueCountFrequency (%)
03225
45.2%
11239
 
17.4%
2689
 
9.7%
3471
 
6.6%
4328
 
4.6%
5230
 
3.2%
6170
 
2.4%
7131
 
1.8%
897
 
1.4%
966
 
0.9%
ValueCountFrequency (%)
551
 
< 0.1%
501
 
< 0.1%
481
 
< 0.1%
433
< 0.1%
414
0.1%
404
0.1%
394
0.1%
386
0.1%
374
0.1%
365
0.1%

interception
Real number (ℝ)

High correlation  Zeros 

Distinct25
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4547876
Minimum0
Maximum30
Zeros3935
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:11.496575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.8591606
Coefficient of variation (CV)1.9653457
Kurtosis13.432173
Mean1.4547876
Median Absolute Deviation (MAD)0
Skewness3.3167668
Sum10377
Variance8.1747994
MonotonicityNot monotonic
2025-10-20T11:05:11.662293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
03935
55.2%
11324
 
18.6%
2667
 
9.4%
3362
 
5.1%
4203
 
2.8%
5143
 
2.0%
682
 
1.1%
772
 
1.0%
854
 
0.8%
1254
 
0.8%
Other values (15)237
 
3.3%
ValueCountFrequency (%)
03935
55.2%
11324
 
18.6%
2667
 
9.4%
3362
 
5.1%
4203
 
2.8%
5143
 
2.0%
682
 
1.1%
772
 
1.0%
854
 
0.8%
943
 
0.6%
ValueCountFrequency (%)
301
 
< 0.1%
271
 
< 0.1%
223
 
< 0.1%
214
 
0.1%
202
 
< 0.1%
192
 
< 0.1%
187
 
0.1%
1710
0.1%
1615
0.2%
1518
0.3%

rushing_yards
Real number (ℝ)

High correlation  Zeros 

Distinct827
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.614889
Minimum-31
Maximum2027
Zeros3216
Zeros (%)45.1%
Negative264
Negative (%)3.7%
Memory size55.9 KiB
2025-10-20T11:05:12.094296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-31
5-th percentile0
Q10
median1
Q357
95-th percentile641
Maximum2027
Range2058
Interquartile range (IQR)57

Descriptive statistics

Standard deviation237.27646
Coefficient of variation (CV)2.3819377
Kurtosis12.919382
Mean99.614889
Median Absolute Deviation (MAD)3
Skewness3.3970042
Sum710553
Variance56300.117
MonotonicityNot monotonic
2025-10-20T11:05:12.289738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03216
45.1%
299
 
1.4%
188
 
1.2%
485
 
1.2%
982
 
1.1%
774
 
1.0%
671
 
1.0%
570
 
1.0%
368
 
1.0%
861
 
0.9%
Other values (817)3219
45.1%
ValueCountFrequency (%)
-311
 
< 0.1%
-241
 
< 0.1%
-231
 
< 0.1%
-181
 
< 0.1%
-161
 
< 0.1%
-151
 
< 0.1%
-141
 
< 0.1%
-134
0.1%
-125
0.1%
-112
 
< 0.1%
ValueCountFrequency (%)
20271
< 0.1%
20131
< 0.1%
20051
< 0.1%
19211
< 0.1%
18451
< 0.1%
18111
< 0.1%
16531
< 0.1%
16311
< 0.1%
16131
< 0.1%
16071
< 0.1%

rush_touchdown
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75648395
Minimum0
Maximum18
Zeros5481
Zeros (%)76.8%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:12.461100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0264658
Coefficient of variation (CV)2.6787955
Kurtosis18.883227
Mean0.75648395
Median Absolute Deviation (MAD)0
Skewness3.9715216
Sum5396
Variance4.1065637
MonotonicityNot monotonic
2025-10-20T11:05:12.629726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
05481
76.8%
1638
 
8.9%
2317
 
4.4%
3178
 
2.5%
4127
 
1.8%
596
 
1.3%
681
 
1.1%
851
 
0.7%
746
 
0.6%
929
 
0.4%
Other values (9)89
 
1.2%
ValueCountFrequency (%)
05481
76.8%
1638
 
8.9%
2317
 
4.4%
3178
 
2.5%
4127
 
1.8%
596
 
1.3%
681
 
1.1%
746
 
0.6%
851
 
0.7%
929
 
0.4%
ValueCountFrequency (%)
182
 
< 0.1%
174
 
0.1%
167
 
0.1%
157
 
0.1%
146
 
0.1%
1312
0.2%
1219
0.3%
1116
0.2%
1016
0.2%
929
0.4%

receptions
Real number (ℝ)

High correlation  Zeros 

Distinct127
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.070377
Minimum0
Maximum149
Zeros1407
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:12.831048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q329
95-th percentile72
Maximum149
Range149
Interquartile range (IQR)28

Descriptive statistics

Standard deviation24.428478
Coefficient of variation (CV)1.2809646
Kurtosis2.4089604
Mean19.070377
Median Absolute Deviation (MAD)8
Skewness1.6485304
Sum136029
Variance596.75051
MonotonicityNot monotonic
2025-10-20T11:05:13.030079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01407
19.7%
1537
 
7.5%
2380
 
5.3%
3286
 
4.0%
4266
 
3.7%
5204
 
2.9%
6199
 
2.8%
7186
 
2.6%
8155
 
2.2%
9148
 
2.1%
Other values (117)3365
47.2%
ValueCountFrequency (%)
01407
19.7%
1537
 
7.5%
2380
 
5.3%
3286
 
4.0%
4266
 
3.7%
5204
 
2.9%
6199
 
2.8%
7186
 
2.6%
8155
 
2.2%
9148
 
2.1%
ValueCountFrequency (%)
1491
 
< 0.1%
1451
 
< 0.1%
1362
< 0.1%
1351
 
< 0.1%
1291
 
< 0.1%
1281
 
< 0.1%
1272
< 0.1%
1221
 
< 0.1%
1193
< 0.1%
1181
 
< 0.1%

receiving_yards
Real number (ℝ)

High correlation  Zeros 

Distinct1083
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.58671
Minimum-15
Maximum1964
Zeros1428
Zeros (%)20.0%
Negative53
Negative (%)0.7%
Memory size55.9 KiB
2025-10-20T11:05:13.226633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-15
5-th percentile0
Q18
median80
Q3298
95-th percentile894.4
Maximum1964
Range1979
Interquartile range (IQR)290

Descriptive statistics

Standard deviation304.67408
Coefficient of variation (CV)1.4132322
Kurtosis4.0058343
Mean215.58671
Median Absolute Deviation (MAD)80
Skewness1.9879135
Sum1537780
Variance92826.297
MonotonicityNot monotonic
2025-10-20T11:05:13.452876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01428
 
20.0%
1154
 
0.8%
853
 
0.7%
752
 
0.7%
948
 
0.7%
648
 
0.7%
1347
 
0.7%
1545
 
0.6%
544
 
0.6%
1242
 
0.6%
Other values (1073)5272
73.9%
ValueCountFrequency (%)
-151
 
< 0.1%
-111
 
< 0.1%
-101
 
< 0.1%
-91
 
< 0.1%
-82
 
< 0.1%
-72
 
< 0.1%
-68
0.1%
-52
 
< 0.1%
-46
0.1%
-35
0.1%
ValueCountFrequency (%)
19641
< 0.1%
19471
< 0.1%
18711
< 0.1%
18411
< 0.1%
18091
< 0.1%
17991
< 0.1%
17491
< 0.1%
17251
< 0.1%
17101
< 0.1%
17081
< 0.1%

receiving_touchdown
Real number (ℝ)

High correlation  Zeros 

Distinct19
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3413711
Minimum0
Maximum18
Zeros3997
Zeros (%)56.0%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:13.632079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2830351
Coefficient of variation (CV)1.702016
Kurtosis7.0953378
Mean1.3413711
Median Absolute Deviation (MAD)0
Skewness2.445431
Sum9568
Variance5.2122492
MonotonicityNot monotonic
2025-10-20T11:05:13.787488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
03997
56.0%
11154
 
16.2%
2606
 
8.5%
3414
 
5.8%
4295
 
4.1%
5195
 
2.7%
6146
 
2.0%
799
 
1.4%
880
 
1.1%
947
 
0.7%
Other values (9)100
 
1.4%
ValueCountFrequency (%)
03997
56.0%
11154
 
16.2%
2606
 
8.5%
3414
 
5.8%
4295
 
4.1%
5195
 
2.7%
6146
 
2.0%
799
 
1.4%
880
 
1.1%
947
 
0.7%
ValueCountFrequency (%)
181
 
< 0.1%
171
 
< 0.1%
163
 
< 0.1%
152
 
< 0.1%
147
 
0.1%
1316
 
0.2%
1217
 
0.2%
1120
0.3%
1033
0.5%
947
0.7%

targets
Real number (ℝ)

High correlation  Zeros 

Distinct180
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.405019
Minimum0
Maximum201
Zeros1202
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:13.980120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q343
95-th percentile108
Maximum201
Range201
Interquartile range (IQR)41

Descriptive statistics

Standard deviation36.248293
Coefficient of variation (CV)1.2761228
Kurtosis2.2224575
Mean28.405019
Median Absolute Deviation (MAD)12
Skewness1.6311718
Sum202613
Variance1313.9387
MonotonicityNot monotonic
2025-10-20T11:05:14.183197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01202
 
16.9%
1485
 
6.8%
2282
 
4.0%
3254
 
3.6%
4213
 
3.0%
5194
 
2.7%
6179
 
2.5%
7153
 
2.1%
9144
 
2.0%
11129
 
1.8%
Other values (170)3898
54.6%
ValueCountFrequency (%)
01202
16.9%
1485
6.8%
2282
 
4.0%
3254
 
3.6%
4213
 
3.0%
5194
 
2.7%
6179
 
2.5%
7153
 
2.1%
8122
 
1.7%
9144
 
2.0%
ValueCountFrequency (%)
2011
 
< 0.1%
2001
 
< 0.1%
1881
 
< 0.1%
1871
 
< 0.1%
1861
 
< 0.1%
1853
< 0.1%
1801
 
< 0.1%
1791
 
< 0.1%
1782
< 0.1%
1742
< 0.1%

touches
Real number (ℝ)

High correlation  Zeros 

Distinct557
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.417636
Minimum0
Maximum755
Zeros213
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:14.379112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median25
Q372
95-th percentile360.8
Maximum755
Range755
Interquartile range (IQR)66

Descriptive statistics

Standard deviation127.32393
Coefficient of variation (CV)1.7342417
Kurtosis8.5695497
Mean73.417636
Median Absolute Deviation (MAD)22
Skewness2.9115062
Sum523688
Variance16211.383
MonotonicityNot monotonic
2025-10-20T11:05:14.573076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1448
 
6.3%
2307
 
4.3%
4245
 
3.4%
3222
 
3.1%
0213
 
3.0%
5200
 
2.8%
7169
 
2.4%
6163
 
2.3%
8157
 
2.2%
9120
 
1.7%
Other values (547)4889
68.5%
ValueCountFrequency (%)
0213
3.0%
1448
6.3%
2307
4.3%
3222
3.1%
4245
3.4%
5200
2.8%
6163
 
2.3%
7169
 
2.4%
8157
 
2.2%
9120
 
1.7%
ValueCountFrequency (%)
7551
< 0.1%
7531
< 0.1%
7461
< 0.1%
7451
< 0.1%
7351
< 0.1%
7201
< 0.1%
7121
< 0.1%
6991
< 0.1%
6911
< 0.1%
6851
< 0.1%

age
Real number (ℝ)

High correlation 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.933268
Minimum20
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:14.761669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile22
Q123
median25
Q328
95-th percentile32
Maximum45
Range25
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.4429131
Coefficient of variation (CV)0.13276048
Kurtosis1.7024036
Mean25.933268
Median Absolute Deviation (MAD)2
Skewness1.1572796
Sum184982
Variance11.853651
MonotonicityNot monotonic
2025-10-20T11:05:14.935748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
241017
14.3%
23985
13.8%
25911
12.8%
26756
10.6%
22664
9.3%
27637
8.9%
28513
7.2%
29385
 
5.4%
30295
 
4.1%
21229
 
3.2%
Other values (16)741
10.4%
ValueCountFrequency (%)
2012
 
0.2%
21229
 
3.2%
22664
9.3%
23985
13.8%
241017
14.3%
25911
12.8%
26756
10.6%
27637
8.9%
28513
7.2%
29385
 
5.4%
ValueCountFrequency (%)
451
 
< 0.1%
442
 
< 0.1%
432
 
< 0.1%
421
 
< 0.1%
414
 
0.1%
407
 
0.1%
3915
 
0.2%
3822
0.3%
3735
0.5%
3641
0.6%

draft_year
Real number (ℝ)

High correlation 

Distinct28
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.7655
Minimum1997
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.9 KiB
2025-10-20T11:05:15.103649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile2006
Q12012
median2015
Q32018
95-th percentile2022
Maximum2024
Range27
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.905538
Coefficient of variation (CV)0.0024347936
Kurtosis0.026794016
Mean2014.7655
Median Absolute Deviation (MAD)3
Skewness-0.52527166
Sum14371322
Variance24.064303
MonotonicityNot monotonic
2025-10-20T11:05:15.531040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2017658
 
9.2%
2018601
 
8.4%
2016561
 
7.9%
2015518
 
7.3%
2013517
 
7.2%
2019482
 
6.8%
2014469
 
6.6%
2012430
 
6.0%
2011409
 
5.7%
2020392
 
5.5%
Other values (18)2096
29.4%
ValueCountFrequency (%)
19973
 
< 0.1%
199815
 
0.2%
19994
 
0.1%
200023
 
0.3%
200126
 
0.4%
200213
 
0.2%
200344
 
0.6%
200486
1.2%
2005116
1.6%
2006143
2.0%
ValueCountFrequency (%)
202476
 
1.1%
2023186
 
2.6%
2022261
 
3.7%
2021266
3.7%
2020392
5.5%
2019482
6.8%
2018601
8.4%
2017658
9.2%
2016561
7.9%
2015518
7.3%

position_DE
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7124 
True
 
9
ValueCountFrequency (%)
False7124
99.9%
True9
 
0.1%
2025-10-20T11:05:15.712803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_DT
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7124 
True
 
9
ValueCountFrequency (%)
False7124
99.9%
True9
 
0.1%
2025-10-20T11:05:15.856690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_FB
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7019 
True
 
114
ValueCountFrequency (%)
False7019
98.4%
True114
 
1.6%
2025-10-20T11:05:15.997752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_FS
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7103 
True
 
30
ValueCountFrequency (%)
False7103
99.6%
True30
 
0.4%
2025-10-20T11:05:16.135896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_ILB
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7115 
True
 
18
ValueCountFrequency (%)
False7115
99.7%
True18
 
0.3%
2025-10-20T11:05:16.297730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_K
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7127 
True
 
6
ValueCountFrequency (%)
False7127
99.9%
True6
 
0.1%
2025-10-20T11:05:16.458344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_LS
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7131 
True
 
2
ValueCountFrequency (%)
False7131
> 99.9%
True2
 
< 0.1%
2025-10-20T11:05:16.586647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_MLB
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7130 
True
 
3
ValueCountFrequency (%)
False7130
> 99.9%
True3
 
< 0.1%
2025-10-20T11:05:16.727257image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_NT
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7131 
True
 
2
ValueCountFrequency (%)
False7131
> 99.9%
True2
 
< 0.1%
2025-10-20T11:05:16.853414image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_OLB
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7128 
True
 
5
ValueCountFrequency (%)
False7128
99.9%
True5
 
0.1%
2025-10-20T11:05:16.999239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_P
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7066 
True
 
67
ValueCountFrequency (%)
False7066
99.1%
True67
 
0.9%
2025-10-20T11:05:17.134177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_QB
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
6157 
True
976 
ValueCountFrequency (%)
False6157
86.3%
True976
 
13.7%
2025-10-20T11:05:17.268072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_RB
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
5388 
True
1745 
ValueCountFrequency (%)
False5388
75.5%
True1745
 
24.5%
2025-10-20T11:05:17.423143image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_SS
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7101 
True
 
32
ValueCountFrequency (%)
False7101
99.6%
True32
 
0.4%
2025-10-20T11:05:17.585378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_T
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
7132 
True
 
1
ValueCountFrequency (%)
False7132
> 99.9%
True1
 
< 0.1%
2025-10-20T11:05:17.740859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_TE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
5692 
True
1441 
ValueCountFrequency (%)
False5692
79.8%
True1441
 
20.2%
2025-10-20T11:05:17.878314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

position_WR
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
False
4493 
True
2640 
ValueCountFrequency (%)
False4493
63.0%
True2640
37.0%
2025-10-20T11:05:18.044089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

fantasy_points_ppr
Real number (ℝ)

High correlation  Zeros 

Distinct2999
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.7131
Minimum-4.8
Maximum513.98
Zeros223
Zeros (%)3.1%
Negative131
Negative (%)1.8%
Memory size55.9 KiB
2025-10-20T11:05:18.210690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-4.8
5-th percentile0.06
Q19.8
median38.8
Q3116.3
95-th percentile267.208
Maximum513.98
Range518.78
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation89.614391
Coefficient of variation (CV)1.1681759
Kurtosis2.1394002
Mean76.7131
Median Absolute Deviation (MAD)35.5
Skewness1.5559925
Sum547194.54
Variance8030.7391
MonotonicityNot monotonic
2025-10-20T11:05:18.417290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0223
 
3.1%
1.430
 
0.4%
1.926
 
0.4%
1.725
 
0.4%
1.624
 
0.3%
1.823
 
0.3%
1.322
 
0.3%
3.322
 
0.3%
3.821
 
0.3%
2.221
 
0.3%
Other values (2989)6696
93.9%
ValueCountFrequency (%)
-4.81
 
< 0.1%
-4.721
 
< 0.1%
-3.361
 
< 0.1%
-3.241
 
< 0.1%
-3.081
 
< 0.1%
-316
0.2%
-2.81
 
< 0.1%
-2.72
 
< 0.1%
-2.521
 
< 0.1%
-2.481
 
< 0.1%
ValueCountFrequency (%)
513.981
< 0.1%
513.081
< 0.1%
505.381
< 0.1%
493.41
< 0.1%
485.681
< 0.1%
477.261
< 0.1%
465.581
< 0.1%
465.21
< 0.1%
464.061
< 0.1%
457.741
< 0.1%

Interactions

2025-10-20T11:05:07.224616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:40.439070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:42.516737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:44.854825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:46.933271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:49.131702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:51.250467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:53.535640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:55.763295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:58.077799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:00.512059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:02.971391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:05.093525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:07.366736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:40.586546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:42.881550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:45.013416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:47.067275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:49.292074image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:51.406651image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:53.716845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:55.925154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:58.230613image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:00.679829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:03.136763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:05.256476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:07.529868image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:40.731740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:43.021529image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:45.169602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:47.198467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:49.454765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:51.547450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:53.872404image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:56.080293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:58.424951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:00.844656image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:03.288293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:05.444367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:07.678704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:40.874059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:43.178402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:45.352244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:47.335089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:49.609001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:51.691745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:54.028088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:56.235177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:58.638328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:00.994463image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:03.453400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:05.620671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:08.044521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:41.028007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:43.314084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:45.513481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:47.477990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:49.760194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:51.833778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:54.186142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:56.380193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:58.843372image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:01.148017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:03.597837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:05.775445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:08.246175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:41.189229image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:43.475559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:45.673822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:47.641621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:49.914737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:52.000562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:54.367857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:56.550379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:59.046192image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:01.314154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:03.765908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:05.957420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:08.417602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:41.351559image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:43.660685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:45.840224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:47.798706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:50.077917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:52.155075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:54.560132image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:56.709423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:59.236691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:01.491733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:03.929329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:06.120343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:08.585117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:41.536218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:43.854910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:46.004142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:48.179796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:50.251035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:52.318782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:54.735160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:56.881157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:59.480300image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:01.667384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:04.112837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:06.296671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:08.766270image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:41.703097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:44.043307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:46.171088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:48.340892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:50.430592image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:52.503900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:54.922831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:57.036133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:59.688458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:01.840162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:04.289301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:06.478649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:08.926937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:41.865423image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:44.210537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:46.322948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:48.518885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:50.596899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:52.887718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:55.101482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:57.437247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:59.860347image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:01.999948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:04.482466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:06.642957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:09.079160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:42.033271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:44.375710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:46.484487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:48.671531image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:50.767221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:53.082331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:55.277778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:57.601853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:00.055410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:02.438784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:04.639369image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:06.795345image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:09.227214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:42.179196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:44.538146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:46.635982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:48.837861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:50.931699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:53.225968image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:55.461513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:57.759081image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:00.217376image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:02.624304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:04.783416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:06.934718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:09.380824image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:42.334267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:44.688904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:46.785406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:48.988349image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:51.092767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:53.377311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:55.614984image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:04:57.916384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:00.367763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:02.801370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:04.934530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-10-20T11:05:07.080673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Correlations

2025-10-20T11:05:18.617672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
agedraft_yearfantasy_points_pprinterceptionpass_touchdownpassing_yardsposition_DEposition_DTposition_FBposition_FSposition_ILBposition_Kposition_LSposition_MLBposition_NTposition_OLBposition_Pposition_QBposition_RBposition_SSposition_Tposition_TEposition_WRreceiving_touchdownreceiving_yardsreceptionsrush_touchdownrushing_yardstargetstouches
age1.000-0.5690.0340.1040.1110.1760.0000.0230.0310.0000.0030.0370.0120.0000.0000.0290.1440.2840.1440.0000.0000.0660.102-0.006-0.066-0.062-0.058-0.110-0.0690.047
draft_year-0.5691.000-0.097-0.137-0.129-0.1270.0310.0360.0470.0280.0000.0340.0770.0000.0000.0000.0880.2450.0900.0230.0000.0780.105-0.038-0.002-0.0000.0270.052-0.007-0.106
fantasy_points_ppr0.034-0.0971.0000.5730.7780.2030.0000.0000.0910.0490.0300.0000.0000.0000.0000.0000.0830.3340.0660.0510.0000.1400.1150.5910.6270.6500.4350.4080.6250.900
interception0.104-0.1370.5731.0000.6410.4250.0000.0000.0300.0000.0000.0000.0000.0000.0000.0000.0040.5710.2030.0000.0000.1300.1660.3100.2450.2250.0490.0620.2340.535
pass_touchdown0.111-0.1290.7780.6411.0000.3790.0000.0000.0350.0000.0000.0000.0000.0000.0000.0000.0140.5520.2060.0000.0000.1110.1910.7080.3990.3790.1050.0950.3710.635
passing_yards0.176-0.1270.2030.4250.3791.0000.0000.0000.0140.0000.0000.0000.0000.0000.0000.0000.0000.7490.1660.0000.0000.1460.226-0.272-0.463-0.4640.1970.219-0.4810.398
position_DE0.0000.0310.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0050.0200.0000.0000.0000.0000.0000.0000.000
position_DT0.0230.0360.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0100.0000.0000.0050.0200.0000.0000.0000.0000.0000.0000.000
position_FB0.0310.0470.0910.0300.0350.0140.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0480.0700.0000.0000.0620.0960.0480.0610.0620.0160.0370.0670.059
position_FS0.0000.0280.0490.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0190.0320.0000.0000.0280.0460.0190.0320.0390.0000.0000.0400.007
position_ILB0.0030.0000.0300.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0110.0220.0000.0000.0180.0340.0000.0100.0200.0000.0000.0210.000
position_K0.0370.0340.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0130.0000.0000.0000.0000.0000.0000.000
position_LS0.0120.0770.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
position_MLB0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
position_NT0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
position_OLB0.0290.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.000
position_P0.1440.0880.0830.0040.0140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0350.0520.0000.0000.0460.0720.0490.0620.0700.0180.0210.0720.041
position_QB0.2840.2450.3340.5710.5520.7490.0000.0000.0480.0190.0110.0000.0000.0000.0000.0000.0351.0000.2260.0210.0000.1990.3050.2420.2880.3190.1330.1120.3250.574
position_RB0.1440.0900.0660.2030.2060.1660.0100.0100.0700.0320.0220.0000.0000.0000.0000.0000.0520.2261.0000.0340.0000.2860.4360.1820.1900.1300.4690.5680.1650.384
position_SS0.0000.0230.0510.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0210.0341.0000.0000.0290.0480.0220.0340.0410.0000.0000.0420.012
position_T0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
position_TE0.0660.0780.1400.1300.1110.1460.0050.0050.0620.0280.0180.0000.0000.0000.0000.0000.0460.1990.2860.0290.0001.0000.3850.1210.1020.0890.2010.2100.0960.239
position_WR0.1020.1050.1150.1660.1910.2260.0200.0200.0960.0460.0340.0130.0000.0000.0000.0090.0720.3050.4360.0480.0000.3851.0000.3020.3640.2800.2880.3150.3300.297
receiving_touchdown-0.006-0.0380.5910.3100.708-0.2720.0000.0000.0480.0190.0000.0000.0000.0000.0000.0000.0490.2420.1820.0220.0000.1210.3021.0000.7940.772-0.094-0.1180.7750.323
receiving_yards-0.066-0.0020.6270.2450.399-0.4630.0000.0000.0610.0320.0100.0000.0000.0000.0000.0000.0620.2880.1900.0340.0000.1020.3640.7941.0000.979-0.033-0.0570.9780.363
receptions-0.062-0.0000.6500.2250.379-0.4640.0000.0000.0620.0390.0200.0000.0000.0000.0000.0000.0700.3190.1300.0410.0000.0890.2800.7720.9791.0000.0350.0190.9900.421
rush_touchdown-0.0580.0270.4350.0490.1050.1970.0000.0000.0160.0000.0000.0000.0000.0000.0000.0000.0180.1330.4690.0000.0000.2010.288-0.094-0.0330.0351.0000.7060.0010.569
rushing_yards-0.1100.0520.4080.0620.0950.2190.0000.0000.0370.0000.0000.0000.0000.0000.0000.0000.0210.1120.5680.0000.0000.2100.315-0.118-0.0570.0190.7061.000-0.0170.614
targets-0.069-0.0070.6250.2340.371-0.4810.0000.0000.0670.0400.0210.0000.0000.0000.0000.0000.0720.3250.1650.0420.0000.0960.3300.7750.9780.9900.001-0.0171.0000.383
touches0.047-0.1060.9000.5350.6350.3980.0000.0000.0590.0070.0000.0000.0000.0000.0000.0000.0410.5740.3840.0120.0000.2390.2970.3230.3630.4210.5690.6140.3831.000

Missing values

2025-10-20T11:05:09.664407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
A simple visualization of nullity by column.
2025-10-20T11:05:10.303237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

passing_yardspass_touchdowninterceptionrushing_yardsrush_touchdownreceptionsreceiving_yardsreceiving_touchdowntargetstouchesagedraft_yearposition_DEposition_DTposition_FBposition_FSposition_ILBposition_Kposition_LSposition_MLBposition_NTposition_OLBposition_Pposition_QBposition_RBposition_SSposition_Tposition_TEposition_WRfantasy_points_ppr
0475.01.04.00.00.00.00.00.00.066.037.01998.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse17.00
10.02.00.00.00.08.077.02.013.08.037.01999.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue27.70
20.02.01.00.00.014.0129.02.014.014.036.01997.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse36.90
30.08.03.00.00.093.0930.08.0121.093.036.01997.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse228.00
41367.07.05.038.00.00.00.00.00.0229.036.01998.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse87.48
5290.03.02.0-1.00.00.00.00.00.042.036.01998.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse22.50
64659.037.011.06.00.00.00.00.00.0595.036.01998.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse380.96
70.00.01.00.00.07.0112.00.012.07.035.01998.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue16.20
80.03.03.00.00.028.0434.03.047.028.035.01998.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue83.40
90.01.01.00.00.03.027.01.05.03.036.01999.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue9.70
passing_yardspass_touchdowninterceptionrushing_yardsrush_touchdownreceptionsreceiving_yardsreceiving_touchdowntargetstouchesagedraft_yearposition_DEposition_DTposition_FBposition_FSposition_ILBposition_Kposition_LSposition_MLBposition_NTposition_OLBposition_Pposition_QBposition_RBposition_SSposition_Tposition_TEposition_WRfantasy_points_ppr
71233568.025.09.0891.06.00.00.00.00.0620.023.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse399.82
71240.00.00.00.00.01.023.00.01.01.022.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse3.30
71250.01.00.00.00.05.028.01.05.05.022.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse13.80
71260.04.01.00.00.063.0916.04.088.063.022.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue176.60
71270.02.03.06.00.020.0268.02.026.023.023.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue53.40
7128775.03.03.011.01.00.00.00.00.0109.024.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse50.10
71293541.020.06.0489.00.00.00.00.00.0637.022.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse283.54
71300.03.01.015.00.054.0734.03.0100.057.022.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue141.90
71310.00.00.026.00.03.016.00.06.05.022.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue4.20
71320.00.00.0291.01.06.059.00.06.069.022.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalse47.00

Duplicate rows

Most frequently occurring

passing_yardspass_touchdowninterceptionrushing_yardsrush_touchdownreceptionsreceiving_yardsreceiving_touchdowntargetstouchesagedraft_yearposition_DEposition_DTposition_FBposition_FSposition_ILBposition_Kposition_LSposition_MLBposition_NTposition_OLBposition_Pposition_QBposition_RBposition_SSposition_Tposition_TEposition_WRfantasy_points_ppr# duplicates
50.00.00.00.00.00.00.00.01.00.023.02016.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse0.03
110.00.00.00.00.00.00.00.01.00.025.02011.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue0.03
00.00.00.00.00.00.00.00.00.00.022.02023.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse0.02
10.00.00.00.00.00.00.00.00.00.025.02019.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse0.02
20.00.00.00.00.00.00.00.00.00.027.02015.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse0.02
30.00.00.00.00.00.00.00.01.00.022.02019.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalse0.02
40.00.00.00.00.00.00.00.01.00.023.02016.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue0.02
60.00.00.00.00.00.00.00.01.00.023.02019.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse0.02
70.00.00.00.00.00.00.00.01.00.023.02020.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse0.02
80.00.00.00.00.00.00.00.01.00.023.02024.0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue0.02